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Monte Carlo Lab — R&D Boundary

Simulation informs. It never authorizes.

How MARS uses this

The R&D boundary exists because simulated territory includes places the live account must never casually visit. The depth-duration map makes the boundary concrete: experiments may explore the deep-slow tail freely, but nothing graduates to live authority while its distribution still lives there.

How it benefits you

Drawdown stops being one scary number. A 7% dip reads as the common, quick-recovery event the map says it is, while the non-linear duration curve makes the case for gate compression viscerally: deep holes do not just cost more - they cost longer.

8w16w24w32wrecovery time grows non-linearlydepth →3%9%16%23%28%bubble size = how often simulated paths visit that territory

The deep-slow tail is legal territory for research and forbidden territory for live rules — the boundary in one picture.

The boundary

A one-way wall between research and deployment.

Simulation outputs flow into understanding — expected ranges, stress envelopes, scenario verdicts. They never flow directly into sizing. No simulated result, however flattering, can raise a gate cap, unlock a tier, or justify an override. Live authority belongs to live evidence and the gate ladder.

What gets sandboxed

Test before promotion, always.

Branch-weight profiles, rule changes, and sensitivity experiments run here first — against the Standard baseline over a persistence window, with documented verdicts — before deliberate promotion. 'I tried it and it felt better' is exactly the process MARS exists to replace.

Why the wall matters

Flattering envelopes are cheap.

Overfitting scenarios to recent regimes produces beautiful but fragile projections. The boundary means a fragile projection can waste research time but can never waste capital — the worst case of bad simulation is a bad memo, not a bad drawdown.

Graduation criteria

04

Crossing the boundary requires stability, not one good run.

A candidate finding leaves the sandbox only after it repeats across resampling seeds, survives adjacent parameter values, and holds up in the most recent evidence window. One flattering distribution is curiosity; the same shape across perturbations is structure. The boundary's paperwork exists to tell those two apart.

Further illustration

Four scenario profiles judged side by side: expectancy, adverse-tail cost, and a verdict. Changes graduate through this grid or not at all.

BASELINE

LIVE
EV +0.31RP10 DD −14.8%

current governing profile

TIGHTER STOPS

REJECTED
EV +0.24RP10 DD −11.2%

EV cost exceeds drawdown saving

TNP WEIGHT +10

SANDBOX
EV +0.36RP10 DD −19.6%

edge up, adverse tail deepens

FEE MODEL B

CANDIDATE
EV +0.33RP10 DD −14.9%

friction saving survives resampling

Doctrine

Connected inside MARS

This module doesn't work alone.

Go deeper

Operator briefs on this territory.

Take it further

The research boundary exists because production rules must not move on a hunch. The Foundry is where a hunch can be taken seriously without ever touching a live rule.

Open the AlphaRail Foundry Lab

Every module ships in the complete MARS package.

One price. Eleven workbooks, three TradingView indicators, and the full manual library — $497.